Evidence map›Paper›PMID 27252022›Full record

ArticleProceedings. Biological sciences2016

Invasion of two tick-borne diseases across New England: harnessing human surveillance data to capture underlying ecological invasion processes.

Katharine S Walter, Kim M Pepin, Colleen T Webb, Holly D Gaff, Peter J Krause, Virginia E Pitzer, Maria A Diuk-Wasser

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Global Emergence of Human Babesiosis.Pathogens (Basel, Switzerland) · 2021
    Review
  9. Ticks, Human Babesiosis and Climate Change.Pathogens (Basel, Switzerland) · 2021
    Review
  10. Evolutionary ecology of Lyme Borrelia.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Lyme disease ecology in a changing world: consensus, uncertainty and critical gaps for improving control.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Katharine S WalterDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, 60 College Street, New Haven, CT 06520, USA katharine.walter@yale.edu.
Kim M PepinUnited States Department of Agriculture Animal and Plant Health Inspection Service, National Wildlife Research Center, 4101 LaPorte Avenue, Fort Collins, CO 80521, USA Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA.
Colleen T WebbFogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA Department of Biology, Colorado State University, Fort Collins, CO 80523, USA.
Holly D GaffDepartment of Biological Sciences, Old Dominion University, 302a Mills Godwin Building, Norfolk, VA 23529, USA.
Peter J KrauseDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, 60 College Street, New Haven, CT 06520, USA.
Virginia E PitzerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, 60 College Street, New Haven, CT 06520, USA Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA.
Maria A Diuk-WasserDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, 60 College Street, New Haven, CT 06520, USA Department of Ecology, Evolution, and Environmental Biology, Columbia University, 1200 Amsterdam Avenue, New York, NY 10027, USA.

Funding

Babesiosis Emergence in the United StatesR01GM105246 · NIGMS · YALE UNIVERSITY · PI DIUK-WASSER, MARIA ANA · 2012 to 2016
$2.0M
YALE BIOMEDICAL SUPERCOMPUTER: NEUROSCIENCES10RR019895 · NCRR · YALE UNIVERSITY · PI WILLIAMS, KENNETH ROBERT · 2004 to 2004
$1.6M
High Performance Computing Instrumentation for Yale University Biomedical HPC CenS10RR029676 · NCRR · YALE UNIVERSITY · PI BJORNSON, ROBERT DEAN · 2011 to 2011
$588k
Probing the natural genomic diversity of Babesia microtiR21AI112938 · NIAID · YALE UNIVERSITY · PI BEN MAMOUN, CHOUKRI, CACCONE, ADALGISA · 2015 to 2016
$458k
Population genomics of Borrelia burgdorferi, the tick-borne agent of Lyme diseaseF31AI118233 · NIAID · YALE UNIVERSITY · PI WALTER, KATHARINE SASSANDRA · 2016 to 2017
$50k
NCRR NIH HHS S10 RR019895NCRR NIH HHS S10 RR029676NIAID NIH HHS F31 AI118233NIGMS NIH HHS R01 GM105246
6 · The paper itself

Abstract

Modelling the spatial spread of vector-borne zoonotic pathogens maintained in enzootic transmission cycles remains a major challenge. The best available spatio-temporal data on pathogen spread often take the form of human disease surveillance data. By applying a classic ecological approach-occupancy modelling-to an epidemiological question of disease spread, we used surveillance data to examine the latent ecological invasion of tick-borne pathogens. Over the last half-century, previously undescribed tick-borne pathogens including the agents of Lyme disease and human babesiosis have rapidly spread across the northeast United States. Despite their epidemiological importance, the mechanisms of tick-borne pathogen invasion and drivers underlying the distinct invasion trajectories of the co-vectored pathogens remain unresolved. Our approach allowed us to estimate the unobserved ecological processes underlying pathogen spread while accounting for imperfect detection of human cases. Our model predicts that tick-borne diseases spread in a diffusion-like manner with occasional long-distance dispersal and that babesiosis spread exhibits strong dependence on Lyme disease.

Indexed as

Population SurveillanceAnimalsBabesiosisHumansIxodesLyme DiseaseNew EnglandTick-Borne DiseasesbabesiosisinvasionLyme diseaseoccupancy modeltick-borne disease

Identifiers

PMID27252022
PMCPMC4920326

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.